A public safety data aggregation node and system based on multi-modal perception

Abstract

The application discloses a kind of public safety data convergence nodes based on multi-modal perception and system, belong to public safety and wisdom city technical field.Node includes: first communication unit, for obtaining by surrounding safety terminal, for the dynamic data of safety judgment sent;Edge computing module is at least based on the dynamic data to judge whether there is safety risk event and trigger response.The application takes the data of safety terminal as the core input of public safety data convergence node, so that the node has the depth perception ability of "people-centered".The safety terminal includes portable safety terminal worn by user and / or vehicle-mounted safety terminal installed on vehicle.The dynamic data can include triage parameters representing the emergency level of user.The node can also be equipped with radar, infrared, camera and other multi-modal perception modules to realize the fusion of environment and personnel data and research and judge.System is composed of node, safety terminal and remote management platform, forming active safety protection network covering the area.

Description

Technical Field

[0001] This invention belongs to the fields of public safety, smart city and Internet of Things technology, and specifically relates to a multi-functional data aggregation node with personnel safety monitoring as its core, which is deployed in key locations or flexibly deployed in a mobile manner, and a public safety data collaboration system composed of this node, a portable security terminal and a remote management platform. Background Technology

[0002] Currently, there are numerous roadside unit (RSU) related technical solutions in the fields of smart cities and intelligent transportation. For example, in vehicle-road cooperative systems, RSUs are mainly used to communicate with onboard units (vehicle-mounted safety terminals) to improve autonomous driving and traffic efficiency; monitoring nodes in some public safety fields are mainly used for environmental perception (such as fire and smoke).

[0003] However, existing technical solutions generally suffer from the following core defects:

[0004] I. Limited Perception Dimensions and Lack of Deep Understanding of "People": Existing RSU solutions primarily serve the "environment" or "vehicles," failing to acquire and utilize real-time physiological states (such as heart rate and stress levels) and urgency levels of people within the area. When emergencies (such as fires, accidents, or stampedes) occur, the command center cannot know the precise location, vital sign distribution, and risk situation of people on site. Existing RSUs are like "blind men groping"—they only know that objects exist, but they don't know the internal state of people.

[0005] Even if existing technologies can perform posture recognition through cameras, they are only based on inferences from external behavior. They cannot obtain quantitative physiological indicators that are dynamically baseline calibrated and can truly reflect the user's internal stress level through a portable security terminal, as is the case with this invention. Therefore, the accuracy and lead time of their judgments are not as good as those of this invention.

[0006] Second, the communication model is rigid and lacks extreme survivability: The vast majority of RSUs rely on communication between the public network and the cloud. Once a major disaster such as an earthquake or flood causes the public network to be paralyzed, these nodes will become "information islands" and will be unable to play an emergency command role.

[0007] Third, centralized decision-making capabilities and lack of edge intelligence: Existing solutions mostly adopt a two-level "end-cloud" architecture, requiring a large amount of raw data to be uploaded to the cloud for processing, resulting in response delays and complete failure when the public network is congested or interrupted.

[0008] Fourth, fixed and closed functions, lack of ecosystem scalability: Most existing RSUs are dedicated devices with fixed functions, which cannot flexibly configure software and hardware modules according to the needs of the scenario, cannot open up capabilities to third-party developers, and are difficult to adapt to the deployment needs of small-scale and precise monitoring scenarios such as homes, kindergartens, and nursing homes.

[0009] Therefore, there is an urgent need in this field for a regional public safety data aggregation node that is centered on human safety, capable of acquiring and utilizing security data from secure terminals, and possesses edge computing capabilities and an open architecture. Summary of the Invention

[0010] (a) Technical problems to be solved

[0011] The present invention aims to provide a public safety data aggregation node and system based on multimodal perception, in order to solve the problems of single perception dimension, lack of extreme survivability, cloud-dependent decision-making, and rigid and closed functions in the existing technology.

[0012] Another technical problem that this invention aims to solve is: how to achieve proactive perception and intelligent assessment of the safety status of people in an area without relying on complex environmental perception hardware, and how to meet the deployment needs of different scenarios through modular design.

[0013] (II) Technical Solution

[0014] This invention provides a public safety data aggregation node based on multimodal perception. Its core concept is to use dynamic data sent by personal wearable or vehicle-mounted security terminals for security assessment as the core input to the data aggregation node, where edge computing and risk assessment are performed locally.

[0015] Specifically, the public safety data aggregation node includes:

[0016] The first communication unit is used to acquire dynamic data sent by the security terminal for security assessment. The first communication unit supports short-range wireless communication technologies such as StarFlash, Ultra Wideband, Bluetooth, and Wi-Fi to connect to the security terminal within the coverage area with low latency and high reliability.

[0017] The edge computing module, connected to the first communication unit, is configured to: determine whether a security risk event exists based at least on the dynamic data; and when the security risk event is determined to exist, trigger a corresponding response operation (such as sending a warning to the terminal, reporting to the platform, or triggering an audible and visual alarm).

[0018] Furthermore, the security terminal includes a portable security terminal worn by the user and a vehicle-mounted security terminal installed on the vehicle; the dynamic data used for security judgment includes at least one of the security terminal's position data, speed data, and direction of motion data.

[0019] Furthermore, the dynamic data used for safety assessment also includes dynamic assessment parameters (defined as triage parameters in this application) generated based on the user's physiological state data, characterizing the user's level of urgency. These triage parameters are quantitative indicators that have been dynamically baseline-calibrated and can truly reflect the user's stress level, enabling nodes to penetrate the surface of "objects" and perceive the person's internal state.

[0020] The public safety data aggregation nodes with the aforementioned basic configuration can operate independently without relying on environmental awareness hardware such as radar or cameras. As long as there are compatible security terminals in the area, the nodes can acquire their dynamic data and perform security assessments. This allows the nodes to play a security alert role in the early stages of the widespread adoption of personal portable security terminals and / or vehicle-mounted security terminals, solving the problem of "cold start" difficulties in traditional solutions.

[0021] As an enhanced configuration, the public safety data aggregation node can also be optionally equipped with a multimodal perception module, including but not limited to: a radar unit (actively detecting traffic participants), an infrared thermal imaging unit (sensing temperature anomalies and fire spots), a camera unit (acquiring video images), and an environmental sensing unit (acquiring temperature, humidity, air quality, noise, etc.). When these units are configured, the edge computing module can fuse the dynamic data with the environmental perception data acquired by the multimodal perception module to perform a more comprehensive risk assessment.

[0022] The public safety data aggregation node may also be optionally equipped with a second communication unit for wide-area communication with the remote management platform (such as at least one of mobile communication units represented by 4G / 5G, satellite communication units including Starlink, fiber optic communication units, broadband communication units, and microwave communication units). When a satellite communication unit is configured, emergency communication can continue to be maintained even if other commonly used communication networks (such as 4G / 5G) are paralyzed.

[0023] When any terminal's dynamic assessment parameters exceed a preset threshold or a preset security risk event is identified, the edge computing module can automatically form a crisis group, acting as the master node to aggregate the status data of each terminal within the group. In the event of a group crisis, a field situation report is generated, containing information such as a heatmap of personnel distribution, the location of the risk source, and the spread trend, and is then reported to the remote management platform or directly alerted to the emergency response department.

[0024] The public safety data aggregation node can also be configured with a precise location module, which stores precise geographic coordinates that have been professionally surveyed, for high-precision correction of the positioning data of portable security terminals.

[0025] The public safety data aggregation node provides an open application programming interface (API) for third-party developers to call its de-identified data and functions to build customized security applications.

[0026] This invention also provides a public safety data collaboration system, comprising at least one of the aforementioned public safety data aggregation nodes, at least one portable safety terminal worn by a user and / or at least one vehicle-mounted safety terminal installed in a vehicle, and a remote management platform. The portable safety terminal is used to collect user physiological state data and generate dynamic assessment parameters (i.e., triage parameters); the vehicle-mounted safety terminal is used to collect and transmit vehicle status data; and the safety terminal interacts with the public safety data aggregation node.

[0027] The remote management platform is used to receive situational information reported by nodes and issue instructions.

[0028] As a system-level enhancement, the remote management platform can aggregate on-site situation information reported by multiple public safety data aggregation nodes, generate a macro-level security situation map covering a wider area (such as an entire city area), and issue collaborative instructions based on the global situation to each public safety data aggregation node. For example, when a major emergency occurs in a certain area, the platform can schedule node resources in surrounding areas for a coordinated response.

[0029] In addition, the public safety data aggregation node has offline autonomy: when the communication connection with the remote management platform is interrupted, the node can still independently perform local judgment and response to security risk events, and encrypt and store the event data generated during the offline period locally; after the communication is restored, the offline data is automatically synchronized to the platform to ensure the integrity and traceability of event records.

[0030] The present invention also protects a computer-readable storage medium having a computer program stored thereon, which, when executed, performs the function of the public safety data aggregation node.

[0031] (III) Beneficial Effects

[0032] Compared with the prior art, the present invention has the following significant advantages:

[0033] For the first time, personal terminal security data is introduced into the data aggregation node, achieving proactive protection "centered on people": Existing RSU solutions all use vehicles or the environment as the sensing object. This invention, for the first time, uses dynamic data sent by personal portable security terminals for user safety assessment (especially "triage parameters" that characterize the degree of urgency) as the core input of the data aggregation node. The node is no longer "blindly groping," but can penetrate the surface and perceive the internal state of people (panic, pain, fatigue, sudden illness), fundamentally improving the accuracy and timeliness of public safety early warning.

[0034] This invention reduces reliance on fixed V2X infrastructure, enabling lightweight deployment: The basic data aggregation node of this invention does not require multimodal perception modules such as radar and cameras. It relies solely on the dynamic data acquired by the first communication unit from surrounding security terminals (including portable and vehicle-mounted security terminals), allowing the edge computing module to independently assess and issue warnings for security risks. Unlike existing V2X solutions that rely on roadside sensors and complex vehicle-road cooperative systems, this invention uses the security terminal's own status data as the core decision-making basis, significantly reducing deployment costs and environmental requirements. It is particularly suitable for scenarios in the early stages of terminal adoption and those with limited budgets, providing a feasible path for rapid and low-cost coverage of public safety active protection networks.

[0035] Possessing extreme survivability, these "strategic nodes" form the foundation of a national emergency response system: through optional satellite communication modules, energy storage batteries, and high-intensity physical deployment, data aggregation nodes can continue operating even in catastrophic environments where public networks are paralyzed. In peacetime, they serve as "guardians" of transportation safety; in wartime, they are the only "lifeline" and "information beacon" capable of connecting with the outside world. This "peacetime-wartime integration" capability makes them a key infrastructure for enhancing urban disaster resilience.

[0036] To overcome the "cold start" challenge of large-scale collaboration and accelerate network effect formation: In the early stages before secure terminals are widely adopted, basic data aggregation nodes can operate independently using only communication and computing capabilities, providing security protection for users or vehicles already equipped with secure terminals. As the penetration rate of secure terminals increases, nodes can be equipped with modules such as radar and cameras to achieve more comprehensive environmental awareness. This "lightweight start-up and modular upgrade" characteristic greatly lowers the market deployment threshold.

[0037] A collaborative intelligent emergency response system integrating cloud, edge, and endpoint technologies is constructed to achieve millisecond-level response: edge computing modules complete data fusion and risk assessment locally without uploading to the cloud, avoiding the "decision lag" and "communication silos" problems of traditional solutions when the public network is congested. In the event of sudden mass incidents, nodes can automatically form crisis groups, becoming information hubs on-site. The system-level multi-node aggregation and global scheduling capabilities further enhance the macro-decision-making level of city-level security governance.

[0038] Platformization and openness create a sustainable and growing security ecosystem: Through modular hardware design and open APIs, nodes can be flexibly configured according to different scenarios such as campuses, transportation hubs, nursing homes, and classified units, and third-party developers can build customized applications, making it a scalable and customizable public safety operating system.

[0039] This "peacetime-wartime integration" capability makes it a key infrastructure for enhancing urban disaster resilience. This invention is useful in peacetime and can play a crucial role in gathering and / or relaying disaster relief information during disasters. Attached Figure Description

[0040] Figure 1 Functional module architecture diagram of the public safety data aggregation node of this invention

[0041] Figure 2 This invention comprises a system architecture diagram of a public safety data aggregation node, a security terminal, and a remote management platform. Detailed Implementation

[0042] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0043] like Figure 1 As shown, the public safety data aggregation node includes a first communication unit, an edge computing module, a second communication unit, an open application programming interface (API), an early warning and response module, and optional multimodal perception module and precise location module.

[0044] Example 1: Basic Data Aggregation Node – Proactive Protection Based Solely on Personal Terminal Data

[0045] This embodiment describes a basic data aggregation node configured only with a first communication unit and an edge computing module, excluding environmental sensing hardware such as radar and cameras. This node is deployed near community entrances or pedestrian crossings, is extremely low-cost, and can be scaled up significantly.

[0046] Workflow:

[0047] The first communication unit (StarFlash / Bluetooth) continuously listens and establishes a connection with the smartwatches worn by students or the elderly who enter the coverage area.

[0048] The node receives dynamic data sent by the watch, including: dynamic assessment parameters (i.e., triage parameters) that characterize the user's urgency level, physiological status data (such as real-time heart rate), location, and movement speed.

[0049] Edge computing module analyzes data: For example, if a student's triage parameter spikes from 0.2 to 0.8 (preset panic threshold) within 0.5 seconds, and the student is in the middle of the road and suddenly stops moving, the node determines that there is a safety risk event of "encountering danger".

[0050] The node immediately triggers a response: it sends a strong vibration warning to the student's watch via the first communication unit, and simultaneously pushes alarm information and precise location to the pre-set guardian's mobile APP.

[0051] If the node is configured with a second communication unit (such as a 4G / 5G module for public network communication), the event data will be reported to the remote management platform for evidence storage.

[0052] Technical effect: Even without any environmental sensors, the node can proactively intervene the moment a user encounters danger, relying solely on data from the user's personal security terminal. This achieves proactive security protection with "zero hardware awareness," greatly reducing deployment costs and barriers to entry.

[0053] This embodiment demonstrates that the public safety data aggregation node, even with only a first communication unit and an edge computing module configured, and without a multimodal perception module and a precise location module, can still independently complete the judgment and early warning of security risk events, thus achieving the core objective of this invention.

[0054] Example 1A: Multiple methods for generating triage parameters

[0055] The triage parameters can be generated by a portable security terminal in any of the following ways: based on user heart rate data, the triage parameters increase accordingly when the heart rate rises beyond a preset threshold within a preset time window; based on a weighted fusion of heart rate and skin conductance data; or based on a comprehensive assessment of heart rate, skin conductance, and body temperature data. Regardless of the generation method used, as long as a quantitative parameter characterizing the user's urgency is ultimately output, it should fall within the protection scope of this invention.

[0056] For detailed methods of generating the triage parameters, including but not limited to dynamic fusion models based on random forests, calculation methods based on rule engines, and mathematical calculation methods based on heart rate mutation patterns, please refer to the applicant's earlier patent application with application number 2025119957111, the entire contents of which are incorporated herein by reference.

[0057] Comparative Example 1: Comparison of triage parameters and simple heart rate threshold

[0058] This comparative example illustrates the significant advancement of the "triage parameters" of this invention compared to simply using a single physiological state data point (e.g., heart rate value). Replacing the triage parameters of this invention with a simple real-time heart rate value would generate numerous false alarms. For example, a simple heart rate threshold alarm would cause unnecessary panic if a student saw a dog and experienced a brief increase in heart rate; however, the triage parameters of this invention are dynamically baseline-calibrated, distinguishing between short-term emotional fluctuations and genuine dangerous stress responses, thus triggering an alert only when the latter occurs. This comparative example demonstrates that the prior art cannot achieve the technical effects of this invention solely by acquiring raw physiological data.

[0059] Example 2: Standard Data Aggregation Node – Integrating Dynamic Data and Environmental Awareness

[0060] This embodiment describes a standard data aggregation node equipped with radar and camera units, deployed at an intersection near a school.

[0061] Workflow:

[0062] The radar unit scans vehicles and pedestrians in the intersection in real time to obtain their position, speed, and direction of movement.

[0063] The first communication unit establishes a connection with the smartwatches of students within the coverage area and receives triage parameters, location and other information reported by the watches.

[0064] The edge computing module integrates radar data and watch data to determine whether there is a collision risk (for example, a rapidly approaching vehicle intersects with the trajectory of a student crossing the road whose triage parameters are elevated; here it is assumed that the rapidly approaching vehicle is not equipped with an onboard safety terminal, and its speed and location are perceived by radar).

[0065] When a high risk is detected, the node performs the following actions: sends a warning to the student's watch via the first communication unit; triggers the intersection warning lights to flash to remind the driver to slow down; and if a collision occurs, the data aggregation node can encrypt and store the radar trajectory, video clips, and desensitized triage parameter curves for 30 seconds before and after the event and report them to the platform.

[0066] Technical effect: By integrating the "internal state" of personal terminals with the "external trajectory" of environmental sensors, the node achieves accurate and reliable early warning of risks, effectively reducing the false alarm rate.

[0067] In addition, the node can be configured with a precise location module that stores the mapped precise geographic coordinates, which is used to fuse and correct the GPS positioning data of the smartwatch, improving the positioning accuracy to sub-meter level.

[0068] Scenario expansion: If the vehicle is equipped with an onboard safety terminal, but the pedestrian is not wearing a safety terminal, the data aggregation node receives the status data (vehicle speed, direction) from the onboard safety terminal on the one hand, and collects the pedestrian's status data through the perception module (such as radar unit, camera unit) on the other hand; then, the data aggregation node performs early warning analysis on the status data of both parties.

[0069] Example 3: Emergency Response of Data Aggregation Nodes in Mass Crisis (Fire)

[0070] This embodiment describes the response process of a standard data aggregation node equipped with an infrared thermal imaging unit in a fire in a commercial district.

[0071] The infrared thermal imaging unit detected an abnormally high temperature at the entrance of a shop and identified a fire.

[0072] At the same time, the node received a sharp increase in triage parameters reported by multiple smartwatches in the area through the first communication unit, and the motion data showed that the crowd was running in a disorderly manner.

[0073] The edge computing module determined the event to be a "fire + mass panic" incident and immediately triggered the emergency mode:

[0074] Automatic networking: The node acts as the master node and automatically forms a crisis group, including all smartwatches that can connect within the coverage area into the group.

[0075] Situational Fusion: It gathers the location and triage parameters of all watches in the group, integrates the fire location perceived by itself, and generates a heat map of on-site personnel distribution and a fire spread trend map.

[0076] Tiered reporting and command: The heat map is reported to the fire command center through the second communication unit; differentiated instructions are pushed to the watches in the crisis group (people in the core area receive evacuation routes, and people in the periphery receive warnings not to approach); the loudspeaker is activated to broadcast evacuation guidance.

[0077] Technical benefits: The nodes have been upgraded from daily "monitors" to "on-site commanders" in emergencies, greatly improving the efficiency and accuracy of emergency rescue.

[0078] Example 4: Extreme Survival Mode of Data Aggregation Nodes Under Public Network Paralysis

[0079] This embodiment describes a node deployed on a robust structure in an earthquake zone. In addition to the standard configuration, the node is equipped with a photovoltaic power generation device, an energy storage battery, and a satellite communication unit.

[0080] After a strong earthquake, mobile communication networks and fixed-line telephone networks are interrupted. After automatic detection, nodes activate secondary communication units with strong survivability, such as satellite communication modules, and switch to "survival mode".

[0081] The node actively connects to all surviving smartwatches in the vicinity through the first communication unit to obtain the location of survivors and triage parameters (vital signs).

[0082] The edge computing module analyzes local data to determine the thermal distribution of survivors and the precise location of individuals suspected of having weak vital signs.

[0083] The nodes transmit this valuable on-site situational data, compressed, to the national emergency command center via satellite link.

[0084] At the same time, the node sends out a rallying signal to the survivors through its own high-powered audible and visual alarm, becoming the only information beacon on site.

[0085] This satellite communication unit can support satellite mobile communication systems such as "Tiantong-1", Beidou short message system or low-orbit satellite internet systems such as Starlink.

[0086] During offline operation, the node also encrypts and stores all detected event data, personnel location records, triage parameter curves, etc., in local non-volatile memory. Once the public network is restored, the node automatically synchronizes the data stored during the offline period to the remote management platform, ensuring the integrity and traceability of event records and providing complete data support for post-disaster assessment and rescue review.

[0087] Technical Benefits: Equipped with independent photovoltaic power generation and energy storage systems, the nodes can continue to operate even in extreme situations such as public grid failure and mains power outages, becoming a reliable information hub at disaster sites and providing crucial first-hand intelligence for rescue efforts. Even if real-time data transmission is not possible, the offline data synchronization mechanism ensures eventual consistency of information.

[0088] Example 5: On-demand, time-based activation – Campus Guardian

[0089] A standard node is deployed at the gate of a primary school and set to "time-sharing working mode": for example, all functions are automatically turned on every day from 7:00 to 8:00 in the morning and from 16:00 to 17:00 in the afternoon; during other times, it automatically enters a low-power sleep state and only retains the remote wake-up function.

[0090] Technical benefits: For scenarios that do not require 24-hour monitoring, the time-sharing mode greatly reduces device power consumption and maintenance costs, making deployment more economical.

[0091] Example 6: Product matrix of Basic / Standard / Flagship Editions

[0092] This example demonstrates a modular product line for nodes:

[0093] Basic version (first communication unit + edge computing module): The core function is risk warning based on personal terminal data. Suitable for communities and school roads where costs are extremely sensitive or where terminal penetration is high. Lowest hardware cost.

[0094] Standard version (basic version + radar + camera): Adds environmental perception and video evidence storage capabilities. Suitable for main roads and areas around schools where accident liability determination and traffic violation capture are required.

[0095] Flagship version (standard version + infrared thermal imaging + satellite communication + energy storage battery): Features extreme survivability, fire early warning, and independent command capabilities. Suitable for strategic locations such as earthquake zones, key hubs, and classified units.

[0096] Technical benefits: The modular design enables nodes to be precisely matched with the needs and budgets of different scenarios, forming a complete product matrix.

[0097] Example 7: Open APIs to Build a Secure Application Ecosystem

[0098] The node platform provides open APIs and SDKs to certified third-party developers. Traffic management departments can use the node's vehicle trajectory and video data to develop red-light violation warning applications; insurance companies can use anonymized regional accident heat maps to develop UBI auto insurance risk assessment models. All third-party applications must be authorized by users and reviewed by the platform.

[0099] Technical effect: The node transforms from a "hardware" with fixed functions into a "platform" with open capabilities, enabling unlimited extension of functions through the power of the ecosystem.

[0100] Example 8: Virtual RSU System Based on Existing Monitoring Network

[0101] In another embodiment of the present invention, the regional public safety data aggregation node does not exist as an independent physical entity, but rather as a logical functional node deployed on a cloud server, utilizing the existing surveillance camera network within its coverage area as the sensing front end. The function of the edge computing module is implemented by the cloud server. When portable security terminals within the coverage area of ​​the existing surveillance network upload their dynamic data via a wide area network (such as terrestrial mobile communication networks represented by 4G / 5G, satellite communication networks including Starlink, and terrestrial fixed wired networks based on telephone lines or optical fibers), the cloud server acts as a logical data aggregation node, performing data fusion, risk assessment, and early warning response operations.

[0102] It should be noted that regardless of whether the data aggregation node exists as an independent physical entity or is deployed in the cloud as a logical functional node and utilizes existing facilities, as long as it performs the core steps of "acquiring dynamic data - judging risks - triggering response" as described in this invention, it falls within the protection scope of this invention.

[0103] It should be noted that although the "logical function node" described in this embodiment differs in physical form from the independent hardware device in the preceding embodiments, it performs the same core steps as the physical entity node: acquiring dynamic data sent by the user's portable security terminal for user security assessment, determining whether a security risk event exists based on the dynamic data, and triggering a response operation when the assessment finds that a security risk event exists. Therefore, the logical function node described in this embodiment is functionally equivalent to the "public security data aggregation node" described in any one of claims 1-11, and is a reasonable extension of the broader concept of "data aggregation node". The "data aggregation node" in the system described in claim 12 should be interpreted as including the data aggregation node deployed in the cloud in the form of a logical function node as described in this embodiment.

[0104] Example 9: Collaborating with in-vehicle terminals to prevent accidents in blind spots

[0105] Near bus stops on urban roads, this node works in conjunction with the vehicle's onboard unit and pedestrians' portable terminals. When the node's radar detects a pedestrian preparing to cross in the blind spot of the bus, it immediately broadcasts the pedestrian's precise location and triage parameters to following vehicles via V2X communication. Upon receiving this information, the following vehicle's onboard safety terminal further adjusts its warning strategy based on the driver's triage parameters (provided by the driver's wristwatch): if the driver's triage parameters indicate fatigue or road rage, the onboard safety terminal triggers a strong warning in advance; if the driver is calm and focused, the standard warning logic is maintained. By integrating pedestrian status, driver status, and environmental blind spots, this node achieves precise prevention of "ghost pedestrian" accidents.

[0106] Example 10: Multi-node networking and city-level collaborative scheduling

[0107] This embodiment demonstrates a system-level collaborative workflow consisting of multiple data aggregation nodes and a remote management platform (see [link]). Figure 2 ).

[0108] A city has deployed dozens of data aggregation nodes covering major intersections. All nodes are connected to the city's intelligent public safety management platform via fiber optic or 5G. Each node reports anonymized on-site situational information (such as regional pedestrian density, average vehicle speed, and summaries of high-risk events) to the platform in real time.

[0109] The platform aggregates data from all nodes to generate a city-wide macro-level security situation map, which displays real-time information such as congestion levels, risk levels, and ongoing incidents in each area.

[0110] When a major emergency occurs in a certain area (such as an explosion or stampede), the platform automatically identifies the scope of the event's impact and issues coordinated instructions to surrounding nodes: instructing nodes in the core area of ​​the event to activate crisis group mode and gather on-site personnel data; instructing peripheral nodes to issue traffic control warnings and guide vehicles to detour; and instructing nodes where rescue forces are stationed to push the optimal passage route.

[0111] The municipal government command center can view the overall situation in real time, retrieve real-time video and historical data from any node, and issue evacuation or rescue orders to specific areas through the platform's large screen.

[0112] Technical Results: Through the cloud-edge collaborative architecture of "node autonomy + platform global scheduling", the system not only ensures low latency for local response, but also realizes cross-regional resource coordination and macro decision support, providing a complete technical solution for city-level public safety management.

[0113] Example 11: Security early warning based solely on dynamic data from a secure terminal, without relying on a multimodal sensing module.

[0114] At an intersection, the data aggregation node of this invention simultaneously receives triage parameters and location information from student A's smartwatch (portable safety terminal) and status information such as speed and heading angle from vehicles traveling on the road via their vehicle-mounted safety terminals (B) through a first communication unit. Based on the dynamic data from these two types of safety terminals, the edge computing module calculates the probability of their trajectories intersecting in space and time. When a collision risk is detected, it sends a warning command to the student's smartwatch through the first communication unit and simultaneously sends a deceleration warning command to the vehicle-mounted terminal through a second communication unit.

[0115] When a vehicle-mounted security terminal and / or a smartwatch has the capability to issue an early warning signal, the data aggregation node of this invention can act as a relay to forward the early warning signal from one party to another.

[0116] Example 12: Mobile Deployable Public Safety Data Aggregation Node

[0117] This embodiment describes a mobile public safety data aggregation node for temporary, mobile public safety monitoring scenarios.

[0118] Scenario 1: Temporary security for large gatherings

[0119] A large-scale open-air concert is being held in a city, with tens of thousands of people expected to attend. The public security department has deployed multiple emergency command vehicles around the event area, each equipped with a public safety data aggregation node based on this invention. The node establishes a connection with smartwatches worn by audience members in real time via a first communication unit, acquiring triage parameters, location, and movement data; and maintains communication with a remote command center via a second communication unit (satellite / 5G).

[0120] When a node detects that the population density in a certain area exceeds a safe threshold and the triage parameters for multiple patients are abnormally elevated, it automatically creates a crisis group, generates a heat map of the on-site population distribution, and reports it to the command center. The command center then dispatches security forces to manage the crowd. After the event, the command vehicle departs, and the node is dismantled.

[0121] Scenario 2: Rapid Deployment at Emergency Rescue Site

[0122] An earthquake struck a region, paralyzing public network base stations. Rescue teams entered the disaster area carrying portable public safety data aggregation nodes (integrated into a ruggedized carrying case). Powered by its built-in battery, the node was quickly set up and automatically activated. It connected to rescue workers' watches and survivors' devices via a primary communication unit, and established a link with the command center via a satellite communication unit. While offline, the node encrypted and stored data locally, synchronizing it to the remote platform once communication was restored.

[0123] Scenario 3: Mobile Patrol Node

[0124] Police patrol vehicles are equipped with public safety data aggregation nodes, which conduct routine patrols in key areas (such as around schools and commercial districts). The nodes move with the vehicles, dynamically covering pedestrian terminals along the patrol routes to achieve awareness of the safety status of moving crowds. When an abnormal event is detected (such as someone suddenly running or a sudden increase in triage parameters), the node immediately sends an early warning and its precise location to the patrolling police officers.

[0125] Technical effect: This embodiment shows that the public safety data aggregation node of the present invention is not limited to being fixedly deployed on roadside poles, but can also be mounted on vehicles or integrated into portable devices, and can be flexibly deployed in mobile manner in scenarios such as temporary gatherings, disaster sites, and patrol routes, so as to achieve a mobile public safety monitoring capability of "deployment on demand, task-driven, and flexible withdrawal".

[0126] Example 13: Small-scale, high-precision monitoring scenario

[0127] This embodiment describes a public safety data aggregation node deployed in small locations such as homes, kindergartens, or nursing homes for the purpose of providing refined safety monitoring for children or the elderly.

[0128] The node is equipped with a first communication unit and an edge computing module, and optionally a precise location module. The node establishes a connection with a portable safety terminal (such as a smartwatch) worn by children or the elderly through the first communication unit, and obtains dynamic data sent by the terminal in real time, including triage parameters, location, and movement status.

[0129] The guardian establishes a communication connection with the node through an application on a mobile phone, tablet, or another smartwatch. The application acts as a client of the remote management platform, used to receive the monitoring information reported by the node and display it to the guardian. It can also receive the monitoring parameters set by the guardian (such as virtual fence range, alarm threshold, etc.) and send them to the node.

[0130] Workflow:

[0131] The node continuously acquires the location data of the monitored user's terminal. The guardian can pre-set one or more virtual fence areas (such as yard boundaries, pool perimeter, kitchen entrance, stairwell, etc.) on the application and send the fence parameters to the node. The edge computing module determines in real time whether the monitored user's terminal approaches, enters, or leaves the preset fence area.

[0132] When a ward enters a restricted area, the node immediately triggers a response: it sends a vibration alert to the ward's terminal via the first communication unit; simultaneously, it pushes an alarm message to the guardian's application, containing the ward's precise location coordinates (accurate to sub-meter level after calibration by the precise location module). When the ward leaves the safe area (such as the gate of a yard), the node also immediately pushes an exit alarm and precise location information.

[0133] When a child is burned or an elderly person falls, the system sends relevant data to the guardian as the triage parameters change.

[0134] In this embodiment, the functions of the remote management platform can be undertaken by a server, or directly by a smartphone, tablet, or another smartwatch carried by the guardian. When a mobile terminal such as a mobile phone is used as the remote management platform, the node communicates with the mobile terminal through a home LAN or wide area network. The node pushes alarm information and location data directly to the application on the mobile terminal, allowing the guardian to view the accurate location of the ward in real time.

[0135] Technical Effects: This embodiment extends the public safety data aggregation node from wide-area public safety scenarios to private, granular monitoring scenarios such as homes and kindergartens. Utilizing the node's edge computing and precise location capabilities, it provides children and the elderly with more accurate and proactive safety protection than traditional Bluetooth anti-loss devices or ordinary cameras. Guardians do not need to constantly monitor the screen; they only need to receive alarms when the node determines a risk to obtain real-time, precise location information of the person being cared for.

[0136] Extended Scenario Description

[0137] Although the above embodiments primarily use roads and communities as examples, those skilled in the art should understand that the nodes of the present invention are also applicable to other scenarios requiring personnel safety monitoring. For example, in classified units, the nodes can incorporate the principle of personnel consistency for counter-espionage early warning; at large-scale event sites, the nodes can be temporarily deployed to provide coordinated early warning of pedestrian and vehicle flow.

[0138] The core inventive point of this invention lies in using the dynamic data of secure terminals as the core decision-making basis for public safety data aggregation nodes, thereby shifting public safety protection from an "environment- or vehicle-centric" approach to a "human-centric" approach. Any equivalent substitutions or simple modifications made under the guidance of the above-described architectural concept fall within the protection scope of this invention.

[0139] This invention also protects a computer-readable storage medium storing a computer program that, when executed, performs the functions of a data aggregation node as described above. The physical form of the storage medium can be any carrier capable of storing and running programs, such as a memory built into a terminal or server, a mobile storage device, or network storage space.

[0140] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the design concept of the present invention should be included within the scope of protection of the present invention.

Claims

1. A public safety data aggregation node based on multimodal perception, characterized in that, include: The first communication unit is used to acquire dynamic data sent by surrounding security terminals for security assessment. An edge computing module, connected to the first communication unit, is configured to: determine whether a security risk event exists, at least based on the dynamic data; When the aforementioned security risk event is detected, the corresponding response operation is triggered.

2. The public safety data aggregation node according to claim 1, characterized in that, The security terminal includes a portable security terminal worn by the user and a vehicle-mounted security terminal installed on the vehicle; the dynamic data used for security judgment includes at least one of the security terminal's position data, speed data, and direction of motion data.

3. The public safety data aggregation node according to claim 1, characterized in that, The dynamic data used for safety assessment also includes dynamic evaluation parameters that characterize the user's level of urgency, generated based on the user's physiological state data.

4. The public safety data aggregation node according to claim 1, characterized in that, It also includes a multimodal sensing module, which comprises at least one of the following optional units: Radar units are used to actively detect traffic participants entering their coverage area; Infrared thermal imaging unit is used to detect temperature anomalies and / or fire locations within the coverage area; The camera unit is used to capture video images within the coverage area; The environmental sensing unit is used to collect environmental data such as temperature, humidity, air quality, and noise.

5. The public safety data aggregation node according to claim 4, characterized in that, The edge computing module is also configured to: fuse the dynamic data with the environmental perception data obtained by the multimodal perception module to determine whether there is a security risk event.

6. The public safety data aggregation node according to claim 1, characterized in that, The first communication unit supports at least one short-range wireless communication technology among StarFlash, Ultra Wideband, Bluetooth, and Wi-Fi.

7. The public safety data aggregation node according to claim 1, characterized in that, It also includes a second communication unit for wide-area communication with a remote management platform; the second communication unit includes at least one of a public network communication unit, a satellite communication unit, an optical fiber communication unit, a broadband communication unit, and a microwave communication unit.

8. The public safety data aggregation node according to claim 2, characterized in that, The edge computing module is also configured to: When the dynamic evaluation parameters of any of the portable security terminals are detected to exceed a preset collaboration threshold, and / or a preset security risk event is identified, a crisis group is automatically formed, and the entity acts as the master node of the crisis group, performing the following operations: Invite other portable secure terminals within its coverage area to join the crisis group; The status data of each terminal within the crisis group are aggregated to generate crisis situation information. The crisis situation information is sent to a remote management platform and / or to a pre-set emergency response department.

9. The public safety data aggregation node according to claim 8, characterized in that, The crisis situation information includes at least: a heat map of personnel distribution, location markers of risk sources, predictions of risk spread trends, and dynamic assessment parameters for each person.

10. The public safety data aggregation node according to claim 1, characterized in that, It also includes a precise location module that stores preset precise geographic coordinates; the edge computing module is also used to correct the positioning data of the security terminal based on the precise geographic coordinates.

11. The public safety data aggregation node according to claim 1, characterized in that, The public safety data aggregation node provides an open application programming interface (API) for third-party applications to call the data and / or functions it collects.

12. A public safety data collaboration system, characterized in that, include: At least one public safety data aggregation node as described in any one of claims 1 to 11; At least one portable security terminal worn by a user and / or at least one vehicle-mounted security terminal installed on the vehicle; The portable security terminal is configured to collect the user's physiological state data and generate the dynamic evaluation parameters; the vehicle-mounted security terminal is configured to collect and transmit vehicle status data; the security terminal interacts with the public safety data aggregation node. The remote management platform is communicatively connected to the public safety data aggregation node, and is used to receive the on-site situation information reported by the public safety data aggregation node, and to issue instructions and / or data to the public safety data aggregation node.

13. The public safety data collaboration system according to claim 12, characterized in that, The remote management platform is also configured to: aggregate on-site situation information reported by multiple public safety data aggregation nodes, generate a macro-level security situation map covering a wider area, and issue collaborative instructions based on the global situation to the public safety data aggregation nodes.

14. The public safety data collaboration system according to claim 12, characterized in that, When the public safety data aggregation node is not connected to the remote management platform, it operates in offline autonomous mode and independently performs the judgment and response to security risk events. After the communication connection with the remote management platform is restored, the event data stored during the offline period is synchronized to the platform.

15. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the functions of the public safety data aggregation node as described in any one of claims 1 to 11.

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